Triple
T3098649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today’s English Version |
E64661
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TEV
TEV is a modern, easy-to-read English translation of the Bible, also known as the Today’s English Version or Good News Bible.
|
E328016
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TEV | Statement: [Today’s English Version, hasAbbreviation, TEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEV Context triple: [Today’s English Version, hasAbbreviation, TEV]
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
-
C.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
D.
Taze
Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
-
E.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TEV Triple: [Today’s English Version, hasAbbreviation, TEV]
Generated description
TEV is a modern, easy-to-read English translation of the Bible, also known as the Today’s English Version or Good News Bible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TEV Target entity description: TEV is a modern, easy-to-read English translation of the Bible, also known as the Today’s English Version or Good News Bible.
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
-
C.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
D.
Taze
Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
-
E.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23dde988190a1aca020685594f3 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2037cc5fc819084a441ebb045142b |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20412e6f8819097f30e50a4141cbe |
completed | March 12, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b207e671888190ab8d97ad661bb5bd |
completed | March 12, 2026, 12:25 a.m. |
Created at: March 8, 2026, 3:03 p.m.